Guiding through uncertainty: nowcasting the GDP of Croatia

This paper addresses the creation of a nowcasting model for economic activity in Croatia.While considering the characteristics of a small, open economy incorporated in a larger economic unit, it emphasises, alongside domestic hard and soft indicators, the importance of using foreign indicators of short-term movements.By comparing factor models, including both the static method of principal components and dynamic methods of quasi-maximum likelihood and two-step estimation approaches, the paper aims to identify a model that accurately describes short-term GDP movements.The results indicate that structural factor extraction from two or three clusters of indicators combined with the simple method of principal components yields the best results.Such timely insights are crucial for decision-making at all levels, especially for fiscal policymakers in a recent entrant to the monetary union.

Publication Details

Journal
Public Sector Economics
Published
2025-06-07
DOI
https://doi.org/10.3326/pse.49.2.1
Primary Topic
Regional Development and Management Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Guiding through uncertainty: nowcasting the GDP of Croatia

Public Sector Economics
Regional Development and Management Studies
article

Guiding through uncertainty: nowcasting the GDP of Croatia

article en

Abstract

This paper addresses the creation of a nowcasting model for economic activity in Croatia.While considering the characteristics of a small, open economy incorporated in a larger economic unit, it emphasises, alongside domestic hard and soft indicators, the importance of using foreign indicators of short-term movements.By comparing factor models, including both the static method of principal components and dynamic methods of quasi-maximum likelihood and two-step estimation approaches, the paper aims to identify a model that accurately describes short-term GDP movements.The results indicate that structural factor extraction from two or three clusters of indicators combined with the simple method of principal components yields the best results.Such timely insights are crucial for decision-making at all levels, especially for fiscal policymakers in a recent entrant to the monetary union.

Public Sector EconomicsVol. 49(2)
Decent work and economic growth
Openalex Percentile: Top 81%
Regional Development and Management Studies
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